RAG & Agent Integration Workflows

Challenge

AI outputs need relevant source context and practical system connectivity to become useful in real customer and operational workflows.

Approach

• Built and tested RAG-based workflows in n8n and Claude that retrieve relevant source information before generating responses.
• Applied grounding and retrieval constraints to improve relevance and reduce unsupported outputs.
• Configured API-enabled integrations using Composio and Hermes to connect AI agents with external applications and tools.

Skills demonstrated

RAG & grounding • agent integration • API-enabled connectivity • workflow orchestration • retrieval constraints • structured prompting • responsible AI

Relevance to AI Solutions & Customer Experience

Demonstrates practical RAG, agent integration, and system connectivity without requiring custom production-code development.